CODEWITHSUNDEEP
javaparsingstanford-nlp
Tobi123
Tobi123

Reputation: 548

Stanford Parser - use german model jar

I want to use stanford parser within the coreNLP. I already got this example working:

http://stanfordnlp.github.io/CoreNLP/simple.html

BUT: I need the german model. So i downloaded "stanford-german-2016-01-19-models.jar".

But how can I set this jar file for usage? I only found:

LexicalizedParser lp = LexicalizedParser.loadModel("englishPCFG.ser.gz");

but i have a jar with the germn models, NOT a ...ser.gz.

Can anyboady help?

Upvotes: 3

Views: 2517

Answers (3)

Stamatis Rapanakis
Stamatis Rapanakis

Reputation: 183

The german equivalent to the english example is the following:

LexicalizedParser lp = LexicalizedParser.loadModel("germanPCFG.ser.gz");

Extract the latest stanford-german-corenlp-2018-10-05-models.jar file and you will find it inside the folder: stanford-german-corenlp-2018-10-05-models\edu\stanford\nlp\models\lexparser

Upvotes: 1

Tobi123
Tobi123

Reputation: 548

First of all: This works, Thank you! But, I don't need this complex way with all these annotators. Thats why I wanted to start with the simple CoreNLP Api. Thats my code:

import edu.stanford.nlp.simple.*;
import java.util.*;

public class Main {

public static void main(String[] args) {

    Sentence sent = new Sentence("Lucy is in the sky with diamonds.");
    List<String> posTags =  sent.posTags();
    List<String> words = sent.words();
    for (int i = 0; i < posTags.size(); i++) {
        System.out.println(words.get(i)+" "+posTags.get(i));
    }
  }
}

How can I get the german prperties file work with this example?

Or the other way: How do I get only the word with the pos tag in your example?

Upvotes: 1

StanfordNLPHelp
StanfordNLPHelp

Reputation: 8739

Here is some sample code for parsing a German sentence:

import edu.stanford.nlp.io.IOUtils;
import edu.stanford.nlp.ling.CoreAnnotations;
import edu.stanford.nlp.pipeline.*;
import edu.stanford.nlp.simple.*;
import edu.stanford.nlp.trees.*;
import edu.stanford.nlp.util.CoreMap;
import edu.stanford.nlp.util.PropertiesUtils;
import edu.stanford.nlp.util.StringUtils;

import java.util.*;

public class SimpleGermanExample {

    public static void main(String[] args) {
        String sampleGermanText = "...";
        Annotation germanAnnotation = new Annotation(sampleGermanText);
        Properties germanProperties = StringUtils.argsToProperties(
                new String[]{"-props", "StanfordCoreNLP-german.properties"});
        StanfordCoreNLP pipeline = new StanfordCoreNLP(germanProperties);
        pipeline.annotate(germanAnnotation);
        for (CoreMap sentence : germanAnnotation.get(CoreAnnotations.SentencesAnnotation.class)) {
            Tree sentenceTree = sentence.get(TreeCoreAnnotations.TreeAnnotation.class);
            System.out.println(sentenceTree);
        }
    }
}

Make sure you download the full toolkit to use this sample code.

http://stanfordnlp.github.io/CoreNLP/

Also make sure you have there German models jar in your CLASSPATH. The code above will know to look at all the jars in your CLASSPATH and will recognize that file as being in the German jar.

Upvotes: 4

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